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Detection of Temporality at Discourse Level on Financial News by
  Combining Natural Language Processing and Machine Learning

Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning

30 March 2024
Silvia García-Méndez
Francisco de Arriba-Pérez
Ana Barros-Vila
Francisco J. González Castaño
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Papers citing "Detection of Temporality at Discourse Level on Financial News by Combining Natural Language Processing and Machine Learning"

3 / 3 papers shown
Title
Examining Independence in Ensemble Sentiment Analysis: A Study on the
  Limits of Large Language Models Using the Condorcet Jury Theorem
Examining Independence in Ensemble Sentiment Analysis: A Study on the Limits of Large Language Models Using the Condorcet Jury Theorem
Baptiste Lefort
Eric Benhamou
Jean-Jacques Ohana
B. Guez
David Saltiel
Thomas Jacquot
19
0
0
26 Aug 2024
Online detection and infographic explanation of spam reviews with data
  drift adaptation
Online detection and infographic explanation of spam reviews with data drift adaptation
Francisco de Arriba-Pérez
Silvia García-Méndez
Fátima Leal
Benedita Malheiro
J. C. Burguillo
13
0
0
21 Jun 2024
Automatic detection of relevant information, predictions and forecasts
  in financial news through topic modelling with Latent Dirichlet Allocation
Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation
Silvia García-Méndez
Francisco de Arriba-Pérez
Ana Barros-Vila
Francisco J. González Castaño
E. Costa-Montenegro
33
17
0
30 Mar 2024
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